Alex Canales's Projects
A collection of shell scripts that can be used for various purposes. These scripts can be used for automating tasks, performing backups, managing files, and more. The scripts are designed to be simple and easy to use, even for those who are new to shell scripting.
Simple readme created for my Github account.
Roboflow is a Computer Vision developer framework for better data collection to preprocessing, and model training techniques. Roboflow has public datasets readily available to users and has access for users to upload their own custom data also. This script, created with some datasets from Robo is used to generate Machine Learning model Weights for
This project is aimed at transforming SQL queries into dynamic, interactive graphs composed of nodes and edges. The main objective is to make database exploration and management more intuitive by visually rendering relationships and structures, all directly in your web browser.
Set of icons representing programming languages, designing & development tools
A set of icons representing programming languages, designing, and development tools.
Machine learning is a rapidly growing field that uses algorithms and statistical models to enable computers to learn and improve from experience.
This API provides access to Toronto's traffic cameras, allowing developers to integrate live camera feeds into their applications. The API is built using Node.js, Express, and Supabase, offering a simple and easy-to-use interface.
Repo for packaged Northstar releases
Real-time object detection and tracking using Raspberry Pi and OpenCV!
Portfolio to showcase my projects. This includes Mobile Apps, Web Apps, Front-End projects, APIs, Data Science work, and Embedded systems development.
A utility-first CSS framework for rapid UI development.
This project focuses on cleaning traffic volume data using Python, Jupyter Notebook, Pandas, and NumPy. The goal is to preprocess the raw data and convert it into a clean CSV/JSON format for further analysis and visualization.
This program uses OpenCV and Tensorflow to detect potholes in Images, and Videos. The model was built using YOLOv5 and the pothole dataset from RoboFlow.com. Currently, this project is under development.
This program uses OpenCV and Tensorflow to detect potholes in Images, and Videos. The model was built using YOLOv5 and the pothole dataset from RoboFlow.com. Currently, this project is under development.